Yin Jun Phua

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Incremental Learning

Prior Domain Knowledge

Top Venues

ILP (Late Breaking Papers)

Publications

Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
Future-Proofing Class Incremental Learning. CoRR (2024)
Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise. CoRR (2024)
Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise. PAKDD (2) (2024)
Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
Class-Incremental Learning using Diffusion Model for Distillation and Replay. CoRR (2023)
Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
Class-Incremental Learning using Diffusion Model for Distillation and Replay. ICCV (Workshops) (2023)
Yin Jun Phua, Katsumi Inoue
Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance. ILP (2021)
Yin Jun Phua, Tony Ribeiro, Katsumi Inoue
Learning Representation of Relational Dynamics with Delays and Refining with Prior Knowledge. FLAP 6 (4) (2019)
Yin Jun Phua, Katsumi Inoue
Learning Logic Programs from Noisy State Transition Data. ILP (2019)
Yin Jun Phua, Tony Ribeiro, Sophie Tourret, Katsumi Inoue
Learning Logic Program Representation for Delayed Systems With Limited Training Data. ILP (Late Breaking Papers) (2017)